Piezoelectric Voiceprint Recognition Based on 3D Nanofiber Aerogel

Poor acoustic-electric performance and limited sound information extraction capabilities restrict the widespread application of acoustic sensors in voiceprint recognition. Efficient human-machine voice interaction requires the development of acoustic sensors with higher performance and rich recognition capabilities at the underlying design level. This work constructed a piezoelectric-based L-polylactic acid/silk fibroin (PLLA/SF) acoustic-driven nanofiber aerogel (ANA) for voiceprint recognition. The 3D porous structural network of PLLA/SF ANA exhibits greater structural deformation capability under equivalent acoustic stimulation, effectively enhancing acoustic-electric conversion performance. The PLLA/SF ANA device achieves a wideband response (90–1000 Hz), high sensitivity (16 V·Pa −1 ), high electrical output (65.6 V, 10.59 µA), and satisfactory resolution (1 Hz). Leveraging this excellent acoustic-electric response performance it enables effective voiceprint recognition, including voice identity and emotion perception, through characteristic spectrum analysis of the electrical response signal, thus providing new ideas for future self-powered human-machine voice interaction.